GEOSCIENCE SOLUTIONS

GEOSCIENCE SOLUTIONS


Work with us to encounter the integrated workflow and comprehend the future of Geoscience Solutions utilizing full integration with Advanced Geophysics, Reservoir Geology, Petrophysics, and Reservoir Engineering, permits you complete major projects on time and under budget. These comprehensive yet flexible solutions are ideal for projects scaling from basin to prospect and reservoir, from where are the potential areas for further detailed work to how should we develop this field, simply from exploration field to development field. This means you can make unbiased, informed decisions much faster and reinforce your capacity to make inferences and ends.

EXTENSIVE EXPERIENCE

Reservoir Management Services

Data Analysis and Interpretation

Integration of Geology, Petrophysics, Geophysics, and Reservoir Engineering

Reservoir Characterization Studies

3-D Stochastic Reservoir Modeling

Reservoir Simulations & Economic Analysis

Field Development Strategic Planning

Risk Analysis & Prospect Evaluation

Seismic Reservoir Characterizations

Fluid Substitution Modeling

Time Lapse (4D)

Geophysical Services

Seismic Data Conditioning

Seismic Data Full Interpretation

Rock physics diagnostics

Acoustic / Elastic Seismic Inversion (Post/Pre-stack)

Seismic interpretation for structure and stratigraphy

Generation and interpretation of structural attributes

Seismic AVO inversion

Multicomponent seismic interpretation and inversion

Log based registration of multicomponent data

Rock physics at a seismic scale

Probabilistic generation of facies volumes from seismic attributes

Domain Conversion

(Time-to-Depth maps)

Using Well Velocities

Seismic constrained geological modeling

Spectral decomposition computation and interpretation

Fracture characterization using different types of seismic data and attributes

Integration of fracture analysis results with related disciplines

Prospect Identification, Evaluation and Field Development

Extended Elastic Impedance

AVO Analysis and DHI Extraction

Integrated Workflows

(e.g., Seismic Inversion + Natural Network)

Petrophysical Services

Log Processing & Interpretation

Well-to-Seismic Calibration

Facies-Dependent Porosity-Permeability Relationship

PLT Interpretation

Time-Lapse Saturation Interpretation

Generation of Synthetic Seismograms

Stochastic Modeling Services

Continuous / Categorical / Object-Based

Seismic Integration

Conditioning to Dynamic Data

(Production, Injection, Well Test, Tracer Test, etc.)

Volumetrics

Connected Pore Volume

Ranking of Geostatistical Models

Risk Analysis

Velocity Maps & Velocity Modelling

Evaluation of Play Fairways

(From Regional, to Reservoir and Well focus)

Colored Inversion

Geostatistical Seismic Inversion (Post & Pre-stack)

AVO Modeling

Reservoir Engineering Services

Rock & Fluid Property Analysis

DST, RFT, Pressure Transient Analysis

Water flood Performance Evaluation

Reservoir Surveillance

Full-Field Black-Oil and Compositional Reservoir Simulations

Dual-Porosity Simulation Including Unconventionals with SRV

Seismic Sequence Stratigraphy

Natural Network / Facies Classification

  • Geoscience Solutions HUB Geoservices Group

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SEISMIC RESERVOIR CHARACTERISATION

The pre-stack inversion is a very powerful method to delineate the reservoirs and has been successfully used in the reservoir characterization but also has its limitations regarding the requirement of a reliable set of wavelets, suitably wire-line logged wells and sufficiently dense initial model.  Artificial Neural Networks have the ability to recognize complex, non-linear relationships between seismic attributes and petrophysical data. The pre-stack inversion has been carried out to produce elastic volumes (P- and S-impedances, and density) along with the derived facies volume. Then, we used the full-stack seismic as an internal attributes generator, and the inverted volumes as external attributes to train the artificial neural network to predict the porosity. Hence, the integration of the two methods provides an intelligent solution for the clastic reservoirs’ characterization. As the pre-stack inversion provides reliable impedance volumes and the neural-network analysis goes beyond the inversion limitations and characterizes the clastic reservoirs effectively.


Seismic Reservoir Characterisation
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